# agentrecall

> Use this tool when you need to store and retrieve information efficiently, solving problems of knowledge management and data recall. It provides a searchable memory with hybrid keyword and semantic search capabilities, taking in text-based inputs and outputting relevant memories. Ideal for use cases requiring persistent data storage and retrieval, such as note-taking, knowledge bases, or conversational AI systems.

Canonical page: https://skillsregistry.net/skills/shaxzodbek-uzb-agentrecall  
JSON: https://api.skillsregistry.net/v1/skills/shaxzodbek-uzb-agentrecall

## Description

Provides persistent, searchable memory with hybrid keyword and semantic search, storing memories in a single SQLite file without external dependencies.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bnj8qavrmv)
- **Repository:** <https://github.com/shaxzodbek-uzb/agentrecall>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shaxzodbek-uzb-agentrecall"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shaxzodbek-uzb-agentrecall` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shaxzodbek-uzb-agentrecall/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt